ORCID Profile
0009-0008-8944-4746
Current Organisations
University of Melbourne
,
University of Duisburg-Essen
,
Universität Zürich
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: New Zealand Grassland Association
Date: 2006
DOI: 10.33584/JNZG.2006.68.2633
Abstract: A long-term field study is being conducted in New South Wales, Australia, to evaluate the feasibility of producing over 40 t DM/ha/year with a triple crop, complementary forage rotation (CFR) system. The CFR comprises a bulk crop (maize) a break crop (forage rape) and a legume crop capable of fixing atmospheric nitrogen (clover). The control is a well managed kikuyu-based pasture oversown with short rotation ryegrass each autumn. Treatments are replicated four times and data from the first 2 years are reported. Over 40 t DM/ha/year was either utilised by grazing or harvested mechanically from the CFR system in the first 2 years. This compares to almost 18 t DM/ha/year of utilised pasture for the control pasture system. In practice, these results indicate that dairy farmers in Australia can increase productivity by growing more forage on-farm with increased efficiency. The systems are designed to complement, rather than substitute, pasture-based systems. Keywords: complementary forage rotation, pasture, crop, dairy
Publisher: Elsevier BV
Date: 06-2008
Publisher: Wiley
Date: 19-03-2009
DOI: 10.1002/NME.2591
Abstract: Dimensionality reduction is a beneficial step to alleviate some of the computation burden as well as to improve the accuracy associated with complex system analyses. This paper investigates dimensionality reduction techniques for linear, time‐invariant systems subject to general non‐linear parameter dependencies. In the context of this paper, dimensionality reduction refers to simultaneous reductions in both model state order and parameter order, i.e. number of uncertain parameters. Two complementary approaches will be presented, one based on the worst‐case H‐infinity norm error associated with both model state and parameter‐order reductions, and another, which is essentially the inverse problem, that considers the largest allowable parameter bounds for a given total H‐infinity norm error for the dimensionally reduced problem. Although applicable to larger‐order systems, a simple low‐order spring–mass ex le is used to demonstrate the usefulness of the techniques developed herein. Published in 2009 by John Wiley & Sons, Ltd.
Publisher: Centro Internacional de Agricultura Tropical
Date: 03-09-2019
Abstract: Keynote paper presented at the International Leucaena Conference, 1‒3 November 2018, Brisbane, Queensland, Australia.The leucaena-grass pastures and target markets for adoption project was commissioned by Meat & Livestock Australia (MLA) to examine the scope for further adoption of leucaena-grass pastures in northern Australia. Drawing upon stakeholder and producer interviews, focus groups, mapping of biophysical factors critical to growing leucaena and a review of existing literature, regional adoption profiles were developed using the ADOPT model. This work outlines the current and future potential for adoption of leucaena in northern Australia and recommends 5 interrelated strategic actions designed to support the ongoing adoption. These actions have been designed to address the complex technical, social and biophysical requirements for successful adoption and will require collaboration between investors, The Leucaena Network, producers, government agencies and the private sector to be effective.
Publisher: CSIRO Publishing
Date: 2007
DOI: 10.1071/EA06064
Abstract: FutureDairy is a national, multidisciplinary project designed to assist Australian dairy farmers to manage future challenges. FutureDairy is exploring technical, economic and social aspects of technology adoption through an innovative approach that combines methodologies of social research (‘People’), extension (‘System’) and technical research (‘Science’). The technologies being investigated revolve around increasing forage production per unit of land through a complementary forage rotation evaluating the most efficient use of brought-in feed to increase milk production per ha and, the incorporation of automatic milking and other technological innovations that would either reduce labour input or allow more precise agriculture. The central strategy of FutureDairy is to utilise ‘knowledge partnerships’ to co-develop knowledge around each of the key areas of investigation thus a key feature of the project is its linkage with commercial ‘partner’ farmers that explore similar questions to those being investigated at Elizabeth Macarthur Agricultural Institute (NSW Department of Primary Industries), where the technical research is being undertaken. This paper focuses on early findings from the forages module. Work thus far has shown that forage yields in excess of 40 t DM/ha.year are achievable. However, the practicalities of implementing this technology on-farm have already identified new and erse issues that, unless understood, will jeopardise its effective adaptation by farmers.
Publisher: Elsevier BV
Date: 06-2008
Publisher: Elsevier BV
Date: 10-2011
Publisher: Center for Open Science
Date: 11-02-2023
Abstract: We concur with the authors of the two target articles that Open Science practices can help combat the ongoing reproducibility and replicability crisis in psychological science and should hence be acknowledged as responsible research practices in hiring and promotion decisions. However, we emphasize that another crisis is equally threatening the credibility of psychological science in Germany: The s ling or generalizability crisis. We suggest that scientists’ efforts to contextualize their research, reflect upon, and increase its generalizability should be incentivized as responsible research practices in hiring and promotion decisions. To that end, we present concrete suggestions for how efforts to combat the additional generalizability crisis could be operationalized within Gärtner et al. 's (2022) evaluation scheme. Tackling the replicability and the generalizability crises in tandem will advance the credibility and quality of psychological science and teaching in Germany.
Publisher: IEEE
Date: 07-2019
Publisher: CSIRO Publishing
Date: 2014
DOI: 10.1071/AN12295
Abstract: The profitability of dairy businesses in southern Australia is closely related to the amount of feed consumed from perennial ryegrass-dominant pasture. Historically, the dairy industry has relied on improvements in pasture productivity and utilisation to support profitable increases in stocking rate and milk production per hectare. However, doubts surround the extent to which the industry can continue to rely on perennial ryegrass technology to provide the necessary productivity improvements required into the future. This paper describes the design and management of a dairy systems experiment at Terang in south-west Victoria (780-mm average annual rainfall) conducted over four lactations (June 2005–March 2009) to compare the production and profitability of two forage base options for non-irrigated dairy farms. These options were represented by two self-contained farmlets each milking 36 mixed-age, autumn-calving Holstein-Friesian cows at peak: (1) well managed perennial ryegrass pasture (‘Ryegrass Max’, or ‘RM’) and (2) perennial ryegrass plus complementary forages (‘CF’) including 15% of farmlet area under double cropping with annual species (winter cereal grown for silage followed by summer brassica for grazing on the same land) and an average of 25% of farmlet area in perennial pasture based on tall fescue for improved late spring–early summer feed supply. The design of these systems was informed by farming systems models (DairyMod, UDDER and Redsky), which were used to estimate the effects of introducing different forage options on farm profitability. The design of the CF system was selected based on modelled profitability increases assuming that all forage components could be managed to optimise forage production and be effectively integrated to optimise milk production per cow. Using the historical ‘average’ pasture growth curve for the Terang district and a mean milk price of $3.71 per kg milk solids, the models estimated that the return on assets of the RM and CF systems would be 9.4 and 15.0%, respectively. The objectives of the experiment described here were to test whether or not such differences in profitability could be achieved in practice, and to determine the risks associated with including complementary forages on a substantial proportion of the effective farm area. Key results of the experiment are presented in subsequent papers.
Publisher: New Zealand Grassland Association
Date: 2006
DOI: 10.33584/JNZG.2006.68.2624
Abstract: Continued improvements in home grown forage consumption are needed to support the long-term profitability of the dairy industry in southern Australia. Most home grown forage currently comes from perennial ryegrass pastures, which have significant limitations in the southern Australia environment. These limitations threaten future productivity gains, and we therefore consider opportunities for using other plant species. Data on the production of alternative perennial grasses, brassica summer crops, C4 summer crops and winter cereals grown for whole-crop silage are limited and generally show large variation in yields between sites and years. Simulation models suggest that, once the base ryegrass pasture is well-utilised, incorporating complementary forages can return $70 - $100/ha extra operating profit for every additional tonne of home grown forage DM consumed per ha. Double cropping (winter cereal or annual ryegrass followed by a summer crop of turnips or maize) and summer-active pastures such as tall fescue show particular promise. Further information is required on how to integrate these forages into whole farm feeding systems to realise the additional profit with manageable business and environmental risk. Keywords: dairy systems, forage production, pastures, forage crops, simulation models
Location: Germany
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Sean Kenny.